soroban-liquidity-pool – Other skill for AI agents

Soroban Liquidity Pool Architecture

What it is: Tracks automated market maker (AMM) liquidity pools, mathematical invariant boundaries, and token reserve ratios on Soroban DeFi networks.

Overview

Provides a standardized, auditable framework and data model for Soroban Liquidity Pool Architecture operations across distributed engineering and decentralized application systems.

When to Use This Skill

• When formalizing architectural contracts, security invariants, or operational limits for Soroban Liquidity Pool Architecture.
• When cross-functional review is required between protocol developers, smart contract auditors, and AI engineering agents.
• When generating reproducible CSV, SQL DDL, JSON Schema, and Notion property registers for tracking compliance.

How It Works

1. Define the parameters, thresholds, and identity bindings required for the target operational register.

2. Select appropriate boundary enforcement values from validated enum select sets.

3. Export standardized artifacts (CSV table, SQL DDL, JSON Schema) to integrate into validation CI pipelines.

Verification procedure

Bind this register to network, pool/asset contract IDs, deployed code hash and ledger snapshot. Read the actual invariant and fee/rounding implementation: constant product, stable curves and concentrated liquidity require different equations and state; do not apply xy=k universally. Record token decimals and exact integer-scaled reserves/LP shares without floating JSON conversion. Test initial/add/remove liquidity, zero reserves, tiny/large swaps, rounding direction, fees, minimum-output/deadline enforcement and unauthorized calls. Compare pre/post balances and share conservation on a disposable fixture; Balanced is a reporting label, not proof of solvency, price correctness or safety. Register generation does not authorize swaps or liquidity transactions.

Field Reference

| # | Field Name | Type | SQL Type | JSON Schema Type | Notion Property Type | Example Value |

|---|------------|------|----------|------------------|----------------------|---------------|

| 1 | Pool Pair ID | id | VARCHAR(64) PRIMARY KEY | string | Text | POOL-001 |

| 2 | Token A Contract | text | VARCHAR(56) | string | Text | CASWAP1... |

| 3 | Token B Contract | text | VARCHAR(56) | string | Text | CASWAP2... |

| 4 | Invariant Model | select | VARCHAR(32) | string | Select | Constant Product (xy=k) |

| 5 | Fee Basis Points | number | INTEGER | number | Number | 30 |

| 6 | Token A Reserve | currency | NUMERIC(24,7) | number | Number | 250000.0000000 |

| 7 | Token B Reserve | currency | NUMERIC(24,7) | number | Number | 125000.0000000 |

| 8 | Total LP Shares Issued | currency | NUMERIC(24,7) | number | Number | 176776.6952966 |

| 9 | Slippage Tolerance Bps | number | INTEGER | number | Number | 50 |

| 10 | Pool Health Status | select | VARCHAR(32) | string | Select | Balanced |

| 11 | Last Rebalance Date | date | DATE | string, format: date | Date | 2026-10-01 |

Select Options

Invariant Model

Constant Product (xy=k) | StableSwap Curve | Concentrated Liquidity

Pool Health Status

Balanced | Impermanent Divergence | High Volatility | Frozen

Relations

• Audit Reference -> links to the formal review documentation or test repository.
• Target Architecture -> links to the deployed contract or autonomous agent runtime component.

Examples

Prompt

How do I configure and track Soroban Liquidity Pool Architecture for our production environment?

Recommended Next Step

> Generate the unified field schema, SQL DDL migration, and JSON validation schema to register into your system catalog.

>

> Workflow: Define criteria -> Run automated verification -> Record baseline -> Monitor invariants.

Best Practices

• Enforce strict typing on numerical bounds and currency amounts; avoid unstructured free-text fields for critical states.
• Re-run validation test suites on every state-altering commit or parameter change.
• Keep example data synthetic and isolated from production cryptographic keys or private endpoints.

Limitations

• Provides architectural specifications, data models, and verification schemas; does not execute direct transaction signing without authorized external tooling.
• Requires network connectivity and valid RPC credentials when querying on-chain states.

Security & Safety Notes

• All parameters declare risk: safe. No unauthorized state modification or privileged credential access is performed.
• Use synthetic dummy keys and mock addresses in test suites and local verification scripts.

Common Pitfalls

• Problem: Mismatched decimal precision between contract runtime and database register.

Solution: Always verify decimals using the explicit field mapping in this reference.

• Problem: Missing authorization checks prior to state update.

Solution: Cross-validate against the Security Audit register before deployment.

Related Skills

• @soroban-contract-audit - provides the security checklist and vulnerability categorization.
• @soroban-token-minter - covers SEP-41 token supply, admin and event modelling.
• @web3-rate-limiting-circuit-breaker - provides operational guardrails and threshold breakers.

Reusable Prompt

I want to establish a verified Soroban Liquidity Pool Architecture register for our production protocol.
Guide me through the required field parameters and output the corresponding SQL DDL and JSON Schema.